3,142 Americas Exploring U.S. County Health During the 2016 Presidential Election
The 2016 Presidential General Election was a bellwether moment in American political history. The election of Donald J. Trump as president came as a surprise to most political analysts, observers, and commentators. To help explain this moment, the map allows you to explore the results of the election at the county level as well as observe other health and wellness measures leading up to the election. The map visualizes 34 distinct data sets, allows you to quickly select differing measures of county health, and lets you develop your own insights about U.S. county health in the run-up to the 2016 presidential election.
Analytical Perspectives State-by-State Obligations for Grant Programs
from the 2018 President's Budget
Visualizing select U.S. Federal Government grant programs on a state-by-state basis, this alluvial diagram (Sankey) shows the flow of obligation data from the federal government to the states. Using the latest D3.js methods, this Sankey also employs a few novel features: utilizes Crossfilter for fast n-dimensional filtering across multiple variables within the data set; transforms tabular data into a graph representation of the data that adheres to the Sankey layout of nodes and links. This transform function is patterned after the work of DensityDesign Lab developers Giorgio Caviglia, Michele Mauri, Giorgio Uboldi, and Matteo Azzi; hides lowest level of graph hierarchy to avoid clutter when all agencies are shown; labels only the top n-percent of nodes on the lowest level of the graph hierarchy to further avoid clutter; and uses the tidyverse R package to wrangle, munge, and tidy the data.